Evolving human landscapes: a virtual laboratory approach

References

• Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19(6), 716–723. doi:10.1109/TAC.1974.1100705
   Web of Science ®Google Scholar
• An, L. (2012). Modeling human decisions in coupled human and natural systems: Review of agent-based models. Ecological Modelling, 229, 25–36. doi:10.1016/j.ecolmodel.2011.07.010
   Web of Science ®Google Scholar
• Arthur, W. B. (1994). Inductive reasoning and bounded rationality. The American Economic Review, 84(2), 406–411. Retrieved from http://www.jstor.org/stable/2117868
   Web of Science ®Google Scholar
• Arthur, W. B., Durlauf, S., & Lane, D. (1997). The economy as an evolving complex system II. Sante Fe, NM: Addison-Wesley.
   Google Scholar
• Axelrod, R. (1986). An evolutionary approach to norms. American Political Science Review, 80, 1095–1111. doi:10.1017/S0003055400185016
   Web of Science ®Google Scholar
• Batty, M., & Torrens, P. M. (2001). Modeling complexity: The limits to prediction. Cybergeo: European Journal of Geography, 201. doi:10.4000/cybergeo.1035
   Google Scholar
• Berger, T. (2001). Agent-based spatial models applied to agriculture: A simulation tool for technology diffusion, resource use changes and policy analysis. Agricultural Economics, 25(2–3), 245–260. doi:10.1111/j.1574-0862.2001.tb00205.x
   Web of Science ®Google Scholar
• Bert, F. E., Podestá, G. P., Rovere, S. L., Menéndez, Á. N., North, M., Tatara, E., … Toranzo, F. R. (2011). An agent based model to simulate structural and land use changes in agricultural systems of the argentine pampas. Ecological Modelling, 222(19), 3486–3499. doi:10.1016/j.ecolmodel.2011.08.007
   Web of Science ®Google Scholar
• Bettencourt, L. M. A. (2013). The origins of scaling in cities. Science, 340(6139), 1438–1441. doi:10.1126/science.1235823
   PubMed Web of Science ®Google Scholar
• Birch-Thomsen, T., & Fog, B. (1996). Changes within small-scale agriculture – A case-study from the southwestern Tanzania. Danish Journal of Geography, 96, 60–69. doi:10.1080/00167223.1996.10649377
   Google Scholar
• Boivin, N. L., Zeder, M. A., Fuller, D. Q., Crowther, A., Larson, G., Erlandson, J. M., … Petraglia, M. D. (2016). Ecological consequences of human niche construction: Examining long-term anthropogenic shaping of global species distributions. Proceedings of the National Academy of Sciences, 113(23), 6388–6396. doi:10.1073/pnas.1525200113
   PubMed Web of Science ®Google Scholar
• Bordalo, P., Gennaioli, N., & Shleifer, A. (2010). Salience theory of choice under risk. National Bureau of Economic Research. Retrieved from http://www.nber.org/papers/w16387
   Google Scholar
• Boserup, E. (1965). The conditions of agricultural growth: The economics of agrarian change under population pressure. Chicago, IL: Aldine.
   Google Scholar
• Boyd, R., Richerson, P. J., & Henrich, J. (2011). The cultural niche: Why social learning is essential for human adaptation. Proceedings of the National Academy of Sciences, 108(Supplement 2), 10918–10925. doi:10.1073/pnas.1100290108
   PubMed Web of Science ®Google Scholar
• Brown, D. G., Aspinall, R., & Bennett, D. (2006). Landscape models and explanation in landscape ecology – A space for generative landscape science? The Professional Geographer, 58, 369–382. doi:10.1111/j.1467-9272.2006.00575.x
   Web of Science ®Google Scholar
• Brown, D. G., Verburg, P. H., Pontius, R. G., Jr., & Lange, M. D. (2013). Opportunities to improve impact, integration, and evaluation of land change models. Current Opinion in Environmental Sustainability, 5, 452–457. doi:10.1016/j.cosust.2013.07.012
   Web of Science ®Google Scholar
• Brughmans, T. (2013). Thinking through networks: A review of formal network methods in archaeology. Journal of Archaeological Method and Theory, 20(4), 623–662. doi:10.1007/s10816-012-9133-8
   Web of Science ®Google Scholar
• Butzer, K. W. (1982). Archaeology as human ecology: Method and theory for a contextual approach. New York, NY: Cambridge University Press.
   Google Scholar
• Castella, J.-C., Lestrelin, G., Hett, C., Bourgoin, J., Fitriana, Y. R., Heinimann, A., & Pfund, J.-L. (2013). Effects of landscape segregation on livelihood vulnerability: Moving from extensive shifting cultivation to rotational agriculture and natural forests in northern Laos. Human Ecology, 41, 63–76. doi:10.1007/s10745-012-9538-8
   Web of Science ®Google Scholar
• Christaller, W. (1933). Die zentralen Orte in Süddeutschland. Eine ökonomisch geographische Untersuchung über die Gesetzmäßigkeit der Verbreitung und Entwicklung der Siedlungen mit städtischen Funktionen. Ann Arbor, MI: University Microfilms.
   Google Scholar
• Cottineau, C., Chapron, P., & Reuillon, R. (2015). Growing models from the bottom up. An evaluation-based incremental modelling method (EBIMM) applied to the simulation of systems of cities. Journal of Artificial Societies and Social Simulation, 18(4), 9. doi:10.18564/jasss.2828
   Web of Science ®Google Scholar
• Danchin, É. (2013). Avatars of information: Towards an inclusive evolutionary synthesis. Trends in Ecology & Evolution, 28(6), 351–358. doi:10.1016/j.tree.2013.02.010
   PubMed Web of Science ®Google Scholar
• Danchin, É., Charmantier, A., Champagne, F. A., Mesoudi, A., Pujol, B., & Blanchet, S. (2011). Beyond DNA: Integrating inclusive inheritance into an extended theory of evolution. Nature Reviews Genetics, 12, 475–486. doi:10.1038/nrg3028
   PubMed Web of Science ®Google Scholar
• de Janvry, A., Fafchamps, M., & Sadoulet, E. (1991). Peasant household behaviour with missing markets: Some paradoxes explained. The Economic Journal, 101(409), 1400–1417. doi:10.2307/2234892
   Web of Science ®Google Scholar
• De Sherbinin, A., VanWey, L. K., McSweeney, K., Aggarwal, R., Barbieri, A., Henry, S., … Walker, R. (2008). Rural household demographics, livelihoods and the environment. Global Environmental Change, 18(1), 38–53. doi:10.1016/j.gloenvcha.2007.05.005
   PubMed Web of Science ®Google Scholar
• Dorward, A., Anderson, S., Bernal, Y. N., Vera, E. S., Rushton, J., Pattison, J., & Paz, R. (2009). Hanging in, stepping up and stepping out: Livelihood aspirations and strategies of the poor. Development in Practice, 19(2), 240–247. doi:10.1080/09614520802689535
   Google Scholar
• Dyball, R., & Newell, B. (2014). Understanding human ecology: A systems approach to sustainability. New York, NY: Routledge.
   Google Scholar
• Dyble, M., Salali, G. D., Chaudhary, N., Page, A., Smith, D., Thompson, J., … Migliano, A. B. (2015). Sex equality can explain the unique social structure of hunter-gatherer bands. Science, 348(6236), 796–798. doi:10.1126/science.aaa5139
   PubMed Web of Science ®Google Scholar
• Eerkens, J., & Lipo, C. (2007). Cultural transmission theory and the archaeological record: Providing context to understanding variation and temporal changes in material culture. Journal of Archaeological Research, 15, 239–274. doi:10.1007/s10814-007-9013-z
   Web of Science ®Google Scholar
• Ellis, E. C. (2015). Ecology in an anthropogenic biosphere. Ecological Monographs, 85, 287–331. doi:10.1890/14-2274.1
   Web of Science ®Google Scholar
• Ellis, E. C., & Ramankutty, N. (2008). Putting people in the map: Anthropogenic biomes of the world. Frontiers in Ecology and the Environment, 6, 439–447. doi:10.1890/070062
   Web of Science ®Google Scholar
• Ellis, F. (1993). Peasant economics: Farm households and agrarian development. Cambridge: Cambridge University Press.
   Google Scholar
• Epstein, J. M. (1999). Agent-based computational models and generative social science. Complexity, 4(5), 41–60. doi:10.1002/(ISSN)1099-0526
   Google Scholar
• Epstein, J. M. (2001). Learning to be thoughtless: Social norms and individual competition. Computational Economics, 18, 9–24. doi:10.1023/A:1013810410243
   Google Scholar
• Epstein, J. M. (2002). Modeling civil violence: An agent-based computational approach. Proceedings of the National Academy of Sciences, 99(suppl 3), 7243–7250. doi:10.1073/pnas.092080199
   PubMed Web of Science ®Google Scholar
• Evans, T. P., Manire, A., de Castro, F., Brondizio, E., & McCracken, S. (2001). A dynamic model of household decision-making and parcel level landcover change in the eastern Amazon. Ecological Modelling, 143, 95–113. doi:10.1016/S0304-3800(01)00357-X
   Web of Science ®Google Scholar
• Evans, T. P., Phanvilay, K., Fox, J., & Vogler, J. (2011). An agent-based model of agricultural innovation, land-cover change and household inequality: The transition from swidden cultivation to rubber plantations in Laos PDR. Journal of Land Use Science, 6(2–3), 151–173. doi:10.1080/1747423X.2011.558602
   Google Scholar
• Filatova, T., Parker, D., & Van der Veen, A. (2009). Agent-based urban land markets: Agent’s pricing behavior, land prices and urban land use change. Journal of Artificial Societies and Social Simulation, 12(1), 3. Retrieved from http://jasss.soc.surrey.ac.uk/12/1/3.html
   Web of Science ®Google Scholar
• Folke, C., Colding, J., & Berkes, F. (2003). Synthesis: Building resilience and adaptive capacity in social-ecological systems. In F. Berkes, J. Colding, & C. Folke (Eds.), Navigating social-ecological systems: Building resilience for complexity and change (pp. 352–387). Cambridge: Cambridge University Press.
   Google Scholar
• Fuentes, A. (2016). The extended evolutionary synthesis, ethnography, and the human niche: Toward an integrated anthropology. Current Anthropology, 57, SS13–SS26. doi:10.1086/685684
   Web of Science ®Google Scholar
• Gallagher, J. (2014). Learning about an infrequent event: Evidence from flood insurance take-up in the United States. American Economic Journal: Applied Economics, 6(3), 206–233. doi:10.1257/app.6.3.206
   Web of Science ®Google Scholar
• Giddens, A. (2013). The constitution of society: Outline of the theory of structuration. Cambridge: Wiley.
   Google Scholar
• Global Agro-Ecological Zones. (2011a). Terrain constraints. Retrieved June 6, 2011, from http://www.iiasa.ac.at/Research/LUC/GAEZ/index.htm
   Google Scholar
• Global Agro-Ecological Zones. (2011b). Agro-climatic constraints. Retrieved June 6, 2011, from http://www.iiasa.ac.at/Research/LUC/GAEZ/index.htm
   Google Scholar
• Grimm, V., & Berger, U. (2016). Structural realism, emergence, and predictions in next-generation ecological modelling: Synthesis from a special issue. Ecological Modelling, 326, 177–187. doi:10.1016/j.ecolmodel.2016.01.001
   Web of Science ®Google Scholar
• Grimm, V., Berger, U., DeAngelis, D. L., Polhill, J. G., Giske, J., & Railsback, S. F. (2010). The ODD protocol: A review and first update. Ecological Modelling, 221(23), 2760–2768. doi:10.1016/j.ecolmodel.2010.08.019
   Web of Science ®Google Scholar
• Grimm, V., Revilla, E., Berger, U., Jeltsch, F., Mooij, W. M., & DeAngelis, D. L. (2005). Pattern-oriented modeling of agent-based complex systems: Lessons from ecology. Science, 310(5750), 987–991. doi:10.1126/science.1116681
   PubMed Web of Science ®Google Scholar
• Grogan, K., Birch-Thomsen, T., & Lyimo, J. (2013). Transition of shifting cultivation and its impact on people’s livelihoods in the Miombo woodlands of northern Zambia and south-western Tanzania. Human Ecology, 41, 77–92. doi:10.1007/s10745-012-9537-9
   Web of Science ®Google Scholar
• Håkansson, N. T., & Widgren, M. (2014). Landesque capital: The historical ecology of enduring landscape modifications. New York, NY: Left Coast Press.
   Google Scholar
• Hamilton, M. J., Milne, B. T., Walker, R. S., & Brown, J. H. (2007). Nonlinear scaling of space use in human hunter-gatherers. Proceedings of the National Academy of Sciences USA, 104(11), 4765–4769. doi:10.1073/pnas.0611197104
   PubMed Web of Science ®Google Scholar
• Hedström, P., & Ylikoski, P. (2010). Causal mechanisms in the social sciences. Annual Review of Sociology, 36, 49–67. doi:10.1146/annurev.soc.012809.102632
   Web of Science ®Google Scholar
• Henrich, J. (2015). The secret of our success: How culture is driving human evolution, domesticating our species, and making us smarter. Princeton, NJ: Princeton University Press.
   Google Scholar
• Henrich, J., Boyd, R., Bowles, S., Camerer, C., Fehr, E., Gintis, H., & Tracer, D. (2005). “Economic man” in cross-cultural perspective: Behavioral experiments in 15 small-scale societies. Behavioral and Brain Sciences, 28, 795–855. doi:10.1017/S0140525X05000142
   PubMed Web of Science ®Google Scholar
• Herrero, M., Thornton, P. K., Bernués, A., Baltenweck, I., Vervoort, J., van de Steeg, J., … Staal, S. J. (2014). Exploring future changes in smallholder farming systems by linking socio-economic scenarios with regional and household models. Global Environmental Change, 24, 165–182. doi:10.1016/j.gloenvcha.2013.12.008
   Web of Science ®Google Scholar
• Hill, K., Barton, M., & Hurtado, A. M. (2009). The emergence of human uniqueness: Characters underlying behavioral modernity. Evolutionary Anthropology: Issues, News, and Reviews, 18, 187–200. doi:10.1002/evan.20224
   Web of Science ®Google Scholar
• Jackson, S. T. (2009). Alexander von Humboldt and the general physics of the earth. Science, 324, 596–597. doi:10.1126/science.1171659
   PubMed Web of Science ®Google Scholar
• Jain, M., Naeem, S., Orlove, B., Modi, V., & DeFries, R. S. (2015). Understanding the causes and consequences of differential decision-making in adaptation research: Adapting to a delayed monsoon onset in Gujarat, India. Global Environmental Change, 31, 98–109. doi:10.1016/j.gloenvcha.2014.12.008
   Web of Science ®Google Scholar
• Janssen, M. A., Manning, M., & Udiani, O. (2013). Evolution of conditional cooperation (Version 2). CoMSES Computational Model Library. Retrieved from http://hdl.handle.net/2286.0/oabm.3887
   Google Scholar
• Janssen, M. A., & Ostrom, E. (2006). Empirically based, agent-based models. Ecology and Society, 11(2), 37.
   Web of Science ®Google Scholar
• Kahneman, D., Knetsch, J., & Thaler, R. (1991). Anomalies: The endowment effect, loss aversion, and status quo bias. Journal of Economic Perspectives, 5, 193–206. doi:10.1257/jep.5.1.193
   Web of Science ®Google Scholar
• Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47, 263–291. doi:10.2307/1914185
   Web of Science ®Google Scholar
• Key, N., & Roberts, M. J. (2009). Nonpecuniary benefits to farming: Implications for supply response to decoupled payments. American Journal of Agricultural Economics, 91(1), 1–18. doi:10.1111/j.1467-8276.2008.01180.x
   Web of Science ®Google Scholar
• Kirch, P. V. (2005). Archaeology and global change: The Holocene record. Annual Review of Environment and Resources, 30, 409–440. doi:10.1146/annurev.energy.29.102403.140700
   Web of Science ®Google Scholar
• Klein Goldewijk, K., & Ramankutty, N. (2004). Land cover change over the last three centuries due to human activities: The availability of new global data sets. GeoJournal, 61(4), 335–344. doi:10.1007/s10708-004-5050-z
   Google Scholar
• Kramer-Schadt, S., Revilla, E., Wiegand, T., & Grimm, V. (2007). Patterns for parameters in simulation models. Ecological Modelling, 204, 553–556. doi:10.1016/j.ecolmodel.2007.01.018
   Web of Science ®Google Scholar
• Laland, K. N., Uller, T., Feldman, M. W., Sterelny, K., Müller, G. B., Moczek, A., … Odling-Smee, J. (2015). The extended evolutionary synthesis: Its structure, assumptions and predictions. Proceedings of the Royal Society B: Biological Sciences, 282(1813), 20151019. doi:10.1098/rspb.2015.1019
   PubMed Web of Science ®Google Scholar
• Latombe, G., Parrot, L., & Fortin, D. (2011). Levels of emergence in individual based models: Coping with scarcity of data and pattern redundancy. Ecological Modelling, 222, 1557–1568. doi:10.1016/j.ecolmodel.2011.02.020
   Web of Science ®Google Scholar
• Levin, S., Xepapadeas, T., Crépin, A.-S., Norberg, J., de Zeeuw, A., & Walker, B. (2013). Social-ecological systems as complex adaptive systems: Modeling and policy implications. Environment and Development Economics, 18, 111–132. doi:10.1017/S1355770X12000460
   Web of Science ®Google Scholar
• Levin, S. A., & Clark, W. C. (2010). Toward a science of sustainability. Warrenton, VA: The National Science Foundation, Airlie Center.
   Google Scholar
• Liu, J., Hull, V., Batistella, M., DeFries, R., Dietz, T., & Zhu, C. (2013). Framing sustainability in a telecoupled world. Ecology and Society, 18(2), 26. doi:10.5751/ES-05873-180226
   Web of Science ®Google Scholar
• Macmillan, W., & Huang, H. Q. (2008). An agent-based simulation model of a primitive agricultural society. Geoforum, 39, 643–658. doi:10.1016/j.geoforum.2007.07.011
   Web of Science ®Google Scholar
• Macy, M. W., & Willer, R. (2002). From factors to factors: Computational sociology and agent-based modeling. Annual Review of Sociology, 28, 143–166. doi:10.1146/annurev.soc.28.110601.141117
   Web of Science ®Google Scholar
• Magliocca, N., McConnell, V., Walls, M., & Safirova, E. (2012). Zoning on the urban fringe: Results from a new approach to modeling land and housing markets. Regional Science and Urban Economics, 42(1–2), 198–210. doi:10.1016/j.regsciurbeco.2011.08.012
   Web of Science ®Google Scholar
• Magliocca, N., Safirova, E., McConnell, V., & Walls, M. (2011). An economic agent-based model of coupled housing and land markets (CHALMS). Computers, Environment and Urban Systems, 35(3), 183–191. doi:10.1016/j.compenvurbsys.2011.01.002
   Web of Science ®Google Scholar
• Magliocca, N. R. (2015). Model-based synthesis of locally contingent responses to global market signals. Land, 4(3), 807–841. doi:10.3390/land4030807
   Web of Science ®Google Scholar
• Magliocca, N. R., Brown, D. G., & Ellis, E. C. (2013). Exploring agricultural livelihood transitions with an agent-based virtual laboratory: Global forces to local decision-making. PLoS One, 8(9), e73241. doi:10.1371/journal.pone.0073241
   PubMed Web of Science ®Google Scholar
• Magliocca, N. R., Brown, D. G., & Ellis, E. C. (2014). Cross-site comparison of land-use decision-making and its consequences across land systems with a generalized agent-based model. PLoS One, 9(1), e86179. doi:10.1371/journal.pone.0086179
   PubMed Web of Science ®Google Scholar
• Magliocca, N. R., & Ellis, E. C. (2013). Using pattern-oriented modeling (POM) to cope with uncertainty in multi-scale agent-based models of land change. Transactions in GIS, 17(6), 883–900. doi:10.1111/tgis.12012
   Web of Science ®Google Scholar
• Manson, S. M., Jordan, N. R., Nelson, K. C., & Brummel, R. F. (2016). Modeling the effect of social networks on adoption of multifunctional agriculture. Environmental Modelling & Software, 75, 388–401. doi:10.1016/j.envsoft.2014.09.015
   PubMed Web of Science ®Google Scholar
• Marsh, G. P. (1865). Man and nature: Or, physical geography as modified by human action. New York, NY: Scribner.
   Google Scholar
• Mesoudi, A. (2011). Cultural evolution: how Darwinian theory can explain human culture and synthesize the social sciences. Chicago, IL: University of Chicago Press.
   Google Scholar
• Mesoudi, A., Whiten, A., & Laland, K. N. (2006). Towards a unified science of cultural evolution. Behavioral and Brain Sciences, 29, 329–347. doi:10.1017/S0140525X06009083
   PubMed Web of Science ®Google Scholar
• Meyfroidt, P. (2015). Approaches and terminology for causal analysis in land systems science. Journal of Land Use Science, 1–27. doi:10.1080/1747423X.2015.1117530
   Web of Science ®Google Scholar
• Monfreda, C., Ramankutty, N., & Foley, J. (2008). Farming the planet: 2. Geographic distribution of crop areas, yields, physiological types, and net primary productivity in the year 2000. Global Biogeochem Cy, 22, GB1022. doi:10.1029/2007GB002947
   Web of Science ®Google Scholar
• Müller, B., Bohn, F., Dreßler, G., Groeneveld, J., Klassert, C., Martin, R., … Schwarz, N. (2013). Describing human decisions in agent-based models–ODD+ D, an extension of the ODD protocol. Environmental Modelling & Software, 48, 37–48. doi:10.1016/j.envsoft.2013.06.003
   Web of Science ®Google Scholar
• Murray-Rust, D., Brown, C., van Vliet, J., Alam, S. J., Robinson, D. T., Verburg, P. H., & Rounsevell, M. (2014). Combining agent functional types, capitals and services to model land use dynamics. Environmental Modelling & Software, 59, 187–201. doi:10.1016/j.envsoft.2014.05.019
   Web of Science ®Google Scholar
• National Research Council. (2014). Advancing land change modeling: Opportunities and research requirements. Washington, DC: National Academies Press.
   Google Scholar
• Netting, R. (1993). Smallholders, householders: Farm families and the ecology of intensive, sustainable agriculture (pp. 9–447). Palo Alto, CA: Stanford University Press.
   Google Scholar
• O’Sullivan, D., Evans, T., Manson, S., Metcalf, S., Ligmann-Zielinska, A., & Bone, C. (2016). Strategic directions for agent-based modeling: Avoiding the YAAWN syndrome. Journal of Land Use Science, 11(2), 177–187. doi:10.1080/1747423X.2015.1030463
   PubMed Web of Science ®Google Scholar
• O’Sullivan, D., & Perry, G. L. (2013). Spatial simulation: Exploring pattern and process. West Sussex: John Wiley & Sons.
   Google Scholar
• Odling-Smee, F. J., Laland, K. N., & Feldman, M. W. (2003). Niche construction: The neglected process in evolution. Princeton, NJ: Princeton University Press.
   Google Scholar
• Ostrom, E. (2000). Collective action and the evolution of social norms. Journal of Economic Perspectives, 14(3), 137–158. doi:10.1257/jep.14.3.137
   Web of Science ®Google Scholar
• Ostrom, E. (2007). A diagnostic approach for going beyond panaceas. Proceedings of the National Academy of Sciences, 104(39), 15181–15187. doi:10.1073/pnas.0702288104
   PubMed Web of Science ®Google Scholar
• Parker, D. C., & Filatova, T. (2008). A conceptual design for a bilateral agent-based land market with heterogeneous economic agents. Computers, Environment and Urban Systems, 32, 454–463. doi:10.1016/j.compenvurbsys.2008.09.012
   Web of Science ®Google Scholar
• Penning De Vries, F. W. T., Rabbinge, R., & Groot, J. J. R. (1997). Potential and attainable food production and food security in different regions. Philosophical Transactions of the Royal Society B: Biological Sciences, 352, 917–928. doi:10.1098/rstb.1997.0071
   Web of Science ®Google Scholar
• Platt, J. R. (1964). Strong inference. Science, 146(3642), 347–353. doi:10.1126/science.146.3642.347
   PubMed Web of Science ®Google Scholar
• Poile, C., & Safayeni, F. (2016). Using computational modeling for building theory: A double edged sword. Journal of Artificial Societies and Social Simulation, 19(3), 8. doi:10.18564/jasss.3137
   Web of Science ®Google Scholar
• Richerson, P., Baldini, R., Bell, A., Demps, K., Frost, K., Hillis, V., … Zefferman, M. (2016). Cultural group selection plays an essential role in explaining human cooperation: A sketch of the evidence. Behavioral and Brain Sciences, 39, e30.
   PubMed Web of Science ®Google Scholar
• Richerson, P. J., & Boyd, R. (2005). Not by genes alone: How culture transformed human evolution. Chicago, IL: University of Chicago Press.
   Google Scholar
• Rivers, R., Knappett, C., & Evans, T. (2013). What makes a site important? Centrality, gateways and gravity. In C. Knappett (Ed.), Network analysis in archaeology: New approaches to regional interaction (p. 125). Oxford: Oxford University Press.
   Google Scholar
• Roth, A. E., & Erev, I. (1995). Learning in extensive-form games: Experimental data and simple dynamic models in the intermediate term. Games and Economic Behavior, 8(1), 164–212. doi:10.1016/S0899-8256(05)80020-X
   Web of Science ®Google Scholar
• Rounsevell, M. D. A., Arneth, A., Alexander, P., Brown, D. G., de Noblet-Ducoudré, N., Ellis, E. … Young, O. (2014). Towards decision-based global land use models for improved understanding of the earth system. Earth System Dynamics, 5(1), 117–137. doi:10.5194/esd-5-117-2014
   Web of Science ®Google Scholar
• Sasaki, T., Penick, C. A., Shaffer, Z., Haight, K. L., Pratt, S. C., & Liebig, J. (2016). A simple behavioral model predicts the emergence of complex animal hierarchies. The American Naturalist, 187(6), 765–775. doi:10.1086/686259
   PubMed Web of Science ®Google Scholar
• Schelling, T. C. (1971). Dynamic models of segregation. Journal of Mathematical Sociology, 1(2), 143–186.
   Web of Science ®Google Scholar
• Scoones, I. (2009). Livelihoods perspectives and rural development. The Journal of Peasant Studies, 36(1), 171–196. doi:10.1080/03066150902820503
   Web of Science ®Google Scholar
• Secchi, D., & Gullekson, N. L. (2016). Individual and organizational conditions for the emergence and evolution of bandwagons. Computational and Mathematical Organization Theory, 1–46. doi:10.1007/s10588-015-9199-4
   Web of Science ®Google Scholar
• Sen, A. K. (1959). The choice of agricultural techniques in underdeveloped countries. Economic Development and Cultural Change, 7, 279–285. doi:10.1086/449802
   Web of Science ®Google Scholar
• Siebert, S., & Döll, P. (2010). Quantifying blue and green virtual water contents in global crop production as well as potential production losses without irrigation. Journal of Hydrology, 384, 198–217. doi:10.1016/j.jhydrol.2009.07.031
   Web of Science ®Google Scholar
• Smith, B. D. (2011a). General patterns of niche construction and the management of ‘wild’ plant and animal resources by small-scale pre-industrial societies. Philosophical Transactions of the Royal Society B: Biological Sciences, 366, 836–848. doi:10.1098/rstb.2010.0253
   PubMed Web of Science ®Google Scholar
• Smith, B. D. (2011b). A cultural niche construction theory of initial domestication. Biological Theory, 6, 260–271. doi:10.1007/s13752-012-0028-4
   Google Scholar
• Steffen, W., Crutzen, P. J., & McNeill, J. R. (2007). The anthropocene: Are humans now overwhelming the great forces of nature. AMBIO: A Journal of the Human Environment, 36, 614–621. doi:10.1579/0044-7447(2007)36[614:TAAHNO]2.0.CO;2
   Web of Science ®Google Scholar
• Sterelny, K. (2011). From hominins to humans: How sapiens became behaviourally modern. Philosophical Transactions of the Royal Society B: Biological Sciences, 366, 809–822. doi:10.1098/rstb.2010.0301
   PubMed Web of Science ®Google Scholar
• Sun, Z., Lorscheid, I., Millington, J. D., Lauf, S., Magliocca, N. R., Groeneveld, J. … Buchmann, C. M. (in press). Simple or complicated agent-based models? A complicated issue. Environmental Modelling & Software, 86, 56–67.
   Google Scholar
• Sutcliffe, A. G., Dunbar, R. I. M., & Wang, D. (2016). Modelling the evolution of social structure. PLoS One, 11(7), e0158605. doi:10.1371/journal.pone.0158605
   Google Scholar
• Tian, G., Kang, B. T., Kolawole, G. O., Idinoba, P., & Salako, F. K. (2005). Long-term effects of fallow systems and lengths on crop production and soil fertility maintenance in West Africa. Nutrient Cycling in Agroecosystems, 71, 139–150. doi:10.1007/s10705-004-1927-y
   Web of Science ®Google Scholar
• Tiessen, H., Salcedo, I. H., & Sampaio, E. V. S. B. (1992). Nutrient and soil organic matter dynamics under shifting cultivation in semi-arid northeastern Brazil. Agriculture, Ecosystems & Environment, 38, 139–151. doi:10.1016/0167-8809(92)90139-3
   Web of Science ®Google Scholar
• Turchin, P., Currie, T. E., Turner, E. A. L., & Gavrilets, S. (2013). War, space, and the evolution of old world complex societies. Proceedings of the National Academy of Sciences, 110(41), 16384–16389. doi:10.1073/pnas.1308825110
   PubMed Web of Science ®Google Scholar
• Turner, B. L., II, & Ali, A. (1996). Induced intensification: Agricultural change in Bangladesh with implications for Malthus and Boserup. Proceedings of the National Academy of Sciences USA, 93, 14984–14991. doi:10.1073/pnas.93.25.14984
   PubMed Web of Science ®Google Scholar
• Tyson, K. C., Roberts, D. H., Clement, C. R., & Garwood, E. A. (1990). Comparison of crop yields and soil conditions during 30 years under annual tillage or grazed pasture. The Journal of Agricultural Science, 115, 29–40. doi:10.1017/S0021859600073883
   Web of Science ®Google Scholar
• Valbuena, D., Verburg, P. H., & Bregt, A. K. (2008). A method to define a typology for agent-based analysis in regional land-use research. Agriculture, Ecosystems & Environment, 128(1–2), 27–36. doi:10.1016/j.agee.2008.04.015
   Web of Science ®Google Scholar
• Van Vugt, M., Roberts, G., & Hardy, C. (2007). Competitive altruism: Development of reputation-based cooperation in groups. In R. Dunbar & L. Barrett (Eds.), Handbook of evolutionary psychology (pp. 531–540). Oxford: Oxford University Press.
   Google Scholar
• Verburg, P. H., Dearing, J. A., Dyke, J. G., Leeuw, S. V. D., Seitzinger, S., Steffen, W., & Syvitski, J. (2015). Methods and approaches to modelling the anthropocene. Global Environmental Change. doi:10.1016/j.gloenvcha.2015.08.007
   Web of Science ®Google Scholar
• Verburg, P. H., Ellis, E. C., & Letourneau, A. (2011). A global assessment of market accessibility and market influence for global environmental change studies. Environmental Research Letters, 6, 034019. doi:10.1088/1748-9326/6/3/034019
   Web of Science ®Google Scholar
• von Thünen, J. H., & Schumacher-Zarchlin, H. (1875). Der isolirte Staat in Beziehung auf Landwirthschaft und Nationalökonomie. Wiegant: Hempel & Parey.
   Google Scholar
• Walker, B., Holling, C. S., Carpenter, S. R., & Kinzig, A. (2004). Resilience, adaptability and transformability in social–ecological systems. Ecology and Society, 9, 5. Retrieved from http://www.ecologyandsociety.org/vol9/iss2/art5/
   Web of Science ®Google Scholar
• Waring, T. M., Goff, S. H., & Smaldino, P. E. (2015). Cultural group selection of sustainable institutions (Version 3). CoMSES Computational Model Library. Retrieved from https://www.openabm.org/model/4627/version/3
   Google Scholar
• Waring, T. M., Kline, M. A., Brooks, J. S., Goff, S. H., Gowdy, J., Janssen, M. A., … Jacquet, J. (2015). A multilevel evolutionary framework for sustainability analysis. Ecology and Society, 20(2), 34. doi:10.5751/ES-07634-200234
   Web of Science ®Google Scholar
• Waters, C. N., Zalasiewicz, J., Summerhayes, C., Barnosky, A. D., Poirier, C., Gałuszka, A., … Wolfe, A. P. (2016). The anthropocene is functionally and stratigraphically distinct from the Holocene. Science, 351(6269), aad2622. doi:10.1126/science.aad2622
   PubMed Web of Science ®Google Scholar
• Weinhardt, J. M., & Vancouver, J. B. (2012). Computational models and organizational psychology: Opportunities abound. Organizational Psychology Review, 2(4), 267–292. doi:10.1177/2041386612450455
   Web of Science ®Google Scholar
• Wilson, E. O. (1975). Sociobiology: The new synthesis. Cambridge, MA: Belknap Press of Harvard University Press.
   Google Scholar
• Zhong, C., Arisona, S. M., Huang, X., Batty, M., & Schmitt, G. (2014). Detecting the dynamics of urban structure through spatial network analysis. International Journal of Geographical Information Science, 28(11), 2178–2199. doi:10.1080/13658816.2014.914521
   Web of Science ®Google Scholar
• Zhou, W.-X., Sornette, D., Hill, R. A., & Dunbar, R. I. (2005). Discrete hierarchical organization of social group sizes. Proceedings of the Royal Society B: Biological Sciences, 272(1561), 439–444. doi:10.1098/rspb.2004.2970
   PubMed Web of Science ®Google Scholar